Around 8 years of overall experience in Advanced Analytics, Research ,Data Sciences, Machine Learning ,Deep Learning and AI. Excellent Knowledge in US Healthcare Data, Hardware device Failure Recognition, Hardware Failure Prediction, Supply Chain Analytics(Risk Analysis and Fraud Detection) Patient Analytics ,Image Classification and Text analytics. Passionate about Leadership, building great Products and Teams. An Active learner continuously focusing towards learning New technology. As a data scientist at Microsoft , -develop ML and AI models to identify opportunity in deal space to increase sales and revenue. -develop anomaly detection models using Isolation Forest ,Z-score , outlier detection methods to identify risk. -create Model deployment pipeline and API creation process with Azure DataBricks and MLFlow -Implement new cutting edge technology to solve customer`s objective. As a data scientist at Philips, I had been working on research and implementation of various ML , DL and AI models. Having said that , I had created several AI models which helped customers increasing their scan efficiency by reducing down time of Healthcare products .. I had been owning the projects from Research to Analysis phase and then to deployment in QA and Production single handedly . Spending lot of my time on research, learning new AI techniques , deployment and Implementation of various AI models helps me to improvise my skills and also provides me several broader ideas to implement them in real time scenario. My Projects: Estimating Probability of fraud using Benford Analysis Develop Risk Model using HHI index to measure Health of Competition Develop weight optimization method using Hill climbing Technique and Learning Rate Decay to optimize weight for attributes and predict scores. -Hardware Failure prediction using Machine Learning Classifier and Neural Network -Customer interactive contextual AI assistant using Rasa-X,NLP,ML and DL. -X-ray Abnormality detection using CNN -Sub-component lifecycle prediction using Auto-ML -Sales and Profit prediction using various ML algorithm -Finding Probability of diagnosis using machine learning techniques. -Classifying Drug feedback response using Topic Modelling. Interested in developing contextual chatbot to provide best end to end customer solution. ©